VI bl1ke Object Detection Dataset and Pre-Trained Model by TIP baysicle

Images

9141 images

Explore Dataset

Here are a few use cases for this project:

Use Case: Predictive Maintenance and Repair Support Services that maintain public and private bicycles could use VI bl1ke to detect and classify bicycles in various locations, monitor their condition regularly, and predict necessary maintenance.
Use Case: Cyclist Tracking and Traffic Analysis Municipalities could use the model in various traffic situations to identify the number and types of bicycles in specific areas, helping monitor road user behavior and bike lane necessities.
Use Case: Automated Bicycle Parking Management The model can be utilized by automated cycle parks for smooth operation, regulating entries and exits, and maintaining the inventory of bicycles.
Use Case: Social and Outdoor Activity Monitoring Urban planners, park administrators and recreation centers can use VI bl1ke to gauge the involvement of people in outdoor activities related to cycling and strategize development accordingly.
Use Case: Security and Surveillance The system can identify bicycles in unusual or suspicious scenarios, useful in theft prevention/detection, aiding law enforcement agencies in maintaining security.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            vi-bl1ke_dataset,
                            title = { VI bl1ke Dataset },
                            type = { Open Source Dataset },
                            author = { TIP baysicle },
                            howpublished = { \url{ https://universe.roboflow.com/tip-baysicle/vi-bl1ke } },
                            url = { https://universe.roboflow.com/tip-baysicle/vi-bl1ke },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-27 },
                            }